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Table 5 Performance of the XGBoost model with different variables

From: Improvement of APACHE II score system for disease severity based on XGBoost algorithm

Variables Number of variables Accuracy
[95% Cl]
Precision
[95% Cl]
Recall
[95% Cl]
F1
[95% Cl]
AUC
[95% Cl]
Urine 15 0.862 ± 0.005
[0.855, 0.869]
0.839 ± 0.010
[0.825, 0.853]
0.862 ± 0.005
[0.855, 0.869]
0.832 ± 0.008
[0.822, 0.841]
0.788 ± 0.006
[0.780, 0.796]
Bilirubin 16 0.865 ± 0.004
[0.860, 0.871]
0.845 ± 0.007
[0.836, 0.855]
0.865 ± 0.004
[0.860, 0.871]
0.839 ± 0.005
[0.832, 0.846]
0.802 ± 0.006
[0.793, 0.810]
Albumin 17 0.864 ± 0.006
[0.856, 0.872]
0.843 ± 0.010
[0.829, 0.857]
0.864 ± 0.006
[0.856, 0.872]
0.838 ± 0.008
[0.827, 0.850]
0.805 ± 0.006
[0.797, 0.814]
BUN 18 0.866 ± 0.004
[0.861, 0.872]
0.847 ± 0.007
[0.837, 0.856]
0.866 ± 0.004
[0.861, 0.872]
0.842 ± 0.006
[0.834, 0.850]
0.811 ± 0.005
[0.804, 0.818]
Glu 19 0.867 ± 0.004
[0.860, 0.872]
0.846 ± 0.007
[0.836, 0.856]
0.867 ± 0.004
[0.860, 0.872]
0.841 ± 0.006
[0.832, 0.850]
0.811 ± 0.004
[0.805, 0.816]